Hyland speeds up the pace of innovation in healthcare by introducing new AI-enabled tools on its Content Innovation Cloud. The tools will help healthcare providers to more efficiently manage their unstructured data. This update will make clinical activities more efficient and enhance the patient experience. The tools will connect seamlessly to existing electronic health records to provide a central location for critical information. This allows physicians to access their patients’ vital information, like history and images, in real-time.
“Hyland has a long history of pioneering advancements in automation, and we’re now setting a new standard for AI-driven innovation in healthcare,” said Michael Campbell, chief product officer at Hyland.“Building on the success of our proven, trusted foundational product offerings, these new capabilities on the Content Innovation Cloud are enabling healthcare teams to unlock value from their unstructured data, streamline high‑friction workflows, and deliver meaningful business outcomes.”
AI-Powered Tools Transform Healthcare Data Management
The new features also include automated document classification as well as intelligent data extraction. Moreover, the system enables the handling of high-resolution medical images in different departments of the hospital. This ensures that the care teams remain synchronized throughout the treatment process. There is a growing need to modernize the digital infrastructure of health systems. As such, the organization has developed a framework to address the needs of growing data securely. These innovations address the most time-consuming tasks in the administration of hospitals. The rollout of the new features is immediate for the organization’s global customers using the Hyland Cloud platform. This is a significant milestone in the organization’s journey to lead the industry in the development of healthcare technology. The AI tools also address the gap that exists in the understanding of complex data.
“Hyland Intelligent MedRecords and Intelligent Correspondence for Revenue Cycle will be game‑changers for our organization, automating medical record capture and classification, reducing manual work, eliminating bottlenecks, and delivering accurate information to clinicians faster,” said Julie Barnett, vice president of enterprise business solutions at OU Health. “By starting with medical records and billing correspondence, we’re reducing friction today while laying the foundation for broader AI adoption across OU Health.”
“Healthcare organizations are increasingly utilizing AI-driven automation, where AI doesn’t just analyze data, but is actively assisting in orchestrating workflows across operational, administrative, and supervised clinical domains,” said Mutaz Shegewi, senior research director, worldwide healthcare provider AI, platforms, and technologies at IDC. “This kind of healthcare transformation depends on unified platforms that bring together trusted data, intelligent content services, and governed AI, integrated across enterprise systems, to operate at scale within regulatory and safety constraints.”
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News Source: PRNewswire.com
